Vansh Singh
@vanshcsingh
fleet hw @OpenAI 🇺🇸 Previously @MosaicML/@DbrxMosaicAI, @Stripe
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thank you to our partners at microsoft, nvidia, oracle, google, and coreweave for making this possible! lots and lots of GPUs working overtime.
we will cross well over 1 million GPUs brought online by the end of this year! very proud of the team but now they better get to work figuring out how to 100x that lol
Software creates soft men Soft men create hard times Hard times create hard men Hard men create hardware Hardware creates good times Good times creates software
It’s official! The biggest venture round in history. And I feel like we’re just getting started… databricks.com/company/newsro…
You can choose your goals. You can’t choose their price.
Investors think they are prepared for how long it will take to see returns on ai spend. They arent.
A timely reminder
I've seen a few claims along the lines of "AI safety orgs haven't ever tried to ban *current* open-source LLMs, just hypothetical super-dangerous future ones." As far as I can tell this claim is totally false. I provide evidence in this post. 1a3orn.com/sub/machine-le…
Most ML folks don't realize how different a beast it is to serve enterprise. Like being a "leader" in the Gartner Magic Quadrant is legit more important than your MMLU score. This isn't enterprise ignorance. It's the opposite. Businesses are machines strictly more complex than…
Thrilled that Forrester named Databricks a Leader in their report on AI Foundation Models in enterprise! databricks.com/blog/databrick… We help organizations build the best AI for *their* domain and data, using the best techniques available, with a world-class research team to back it.
AI is over-saturated. Winter is coming. Firms without a real business are NGMI.
Awesome work training such a big model with a permissive license! I think you had a mistake in your IFEval implementation, your reported number is less than 2x what we observe (though it does vary with inference server and sampling parameters). You should see in the high 60s
I don’t think everyone has comprehended the massive disruption and distortion that is going to happen in the Gen AI market due to Llama3. Moats will be destroyed and investments will go to zero. Just like everything in Gen AI, this will all happen fast.
Meta Llama 3 models are being rolled out across all Databricks Model Serving regions over the next few days. Once available, they can be accessed via the UI, API, or SQL interfaces. dbricks.co/3Qcwffh
It can’t because GPT 4 cost 100m$ to train.
Yes, we dropped the best open-source model as of today. Yes, you can train your own SOTA models too. Train on @databricks! databricks.com/blog/introduci…
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
Interesting trend in AI: the best results are increasingly obtained by compound systems, not monolithic models. AlphaCode, ChatGPT+, Gemini are examples. In this post, we discuss why this is and emerging research on designing & optimizing such systems. bair.berkeley.edu/blog/2024/02/1…
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